1 citations · 1 across the 7 of their papers we have counts for
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ParaTutor: Coordinating Parent and Child Math Tutoring through Role Separated LLM Scaffolding
Lan Luo, Anqi Wang, Muzhi Zhou +4
Parent and child tutoring is a collaborative learning setting with asymmetric roles. Parents guide children s problem solving, while children are expected to remain actively engage…
U-Lens: Supporting User Uncertainty Management in Long-Form LLM Responses
Yu Mei, Qingyue Zhuang, Jie Cai +5
Uncertainty can appear throughout LLM-generated text (e.g., questionable claims, ambiguous terms). Prior work largely focuses on making such uncertainty visible through cues such a…
PAPEL: A Collaborative System for Parental Guidance during Preschool Play-Based English Learning
Xutong Wang, Yu Mei, Qinwei Li +7
Play-based parent-child interaction offers preschoolers rich opportunities for everyday foreign language learning, yet many parents struggle to turn open-ended play into effective…
Twitch Third-Party Developers' Support Seeking and Provision Practices on Discord
Jie Cai, He Zhang, Yueyan Liu +2
Third-party developers (TPDs) often turn to online communities for support when they can't get immediate responses from the platform. Twitch, as a leading live streaming platform,…
Adapting AI to the Moment: Understanding the Dynamics of Parent-AI Collaboration Modes in Real-Time Conversations with Children
Yu Mei, Ziyao Zhang, Qingyang Wan +5
Parent-AI collaboration to support real-time conversations with children is challenging due to the sensitivity and open-ended nature of such interactions. Existing systems often si…
Division of Labor and Collaboration Between Parents in Family Education
Ziyi Wang, Congrong Zhang, Jingying Deng +5
Homework tutoring work is a demanding and often conflict-prone practice in family life, and parents often lack targeted support for managing its cognitive and emotional burdens. Th…
PACEE: Parent-Centered AI Scaffolding for Emotion Education in Early Childhood Conversations
Yu Mei, Xutong Wang, Ziyao Zhang +8
Emotion education is critical for children aged 3 to 6. However, existing technologies largely focus on children's direct interaction with AI, overlooking the central role of paren…